World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8738
World Ranking
7171
National Ranking
115

Yuval Shahar publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yuval Shahar sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 232 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Yuval Shahar D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yuval Shahar sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Yuval Shahar is affiliated with Ben-Gurion University of the Negev in Israel. Their research spans the fields of Medicine and Computer Science, with a notable focus on Artificial Intelligence, Public Health, Environmental and Occupational Health, General Health Professions, Modeling and Simulation, and Health Information Management.

The primary topics of their work include:

  • COVID-19 epidemiological studies
  • Clinical practice guidelines implementation
  • Electronic Health Records Systems
  • Healthcare Technology and Patient Monitoring
  • Time Series Analysis and Forecasting
  • Classical Antiquity Studies
  • Nanomaterials for catalytic reactions

Yuval Shahar's published papers cover a range of interdisciplinary subjects, highlighting recent contributions such as:

  • "CardiWall: A Trusted Firewall for the Detection of Malicious Clinical Programming of Cardiac Implantable Electronic Devices" (2020) in IEEE Access
  • "The Impact of US County-Level Factors on COVID-19 Morbidity and Mortality" (2022) in Journal of Urban Health
  • "A Cyber-Security Risk Assessment Methodology for Medical Imaging Devices: the Radiologists' Perspective" (2022) in Journal of Digital Imaging
  • "Distributed application of guideline-based decision support through mobile devices: Implementation and evaluation" (2022) in Artificial Intelligence in Medicine
  • "A New Methodology for Information Security Risk Assessment for Medical Devices and Its Evaluation" (2020) in arXiv (Cornell University)

The venues where Yuval Shahar frequently publishes include:

  • arXiv (Cornell University), 14 publications
  • Studies in health technology and informatics, 6 publications
  • Preprints.org, 5 publications
  • Journal of Biomedical Informatics, 3 publications
  • Artificial Intelligence in Medicine, 2 publications

In addition to articles, Yuval Shahar has contributed to academic books published by:

  • Cambridge University Press with "Rome: An Empire of Many Nations" in 2022
  • Mohr Siebeck eBooks with "Josephus Geographicus" in 2020

Frequent coauthors collaborating with Yuval Shahar include:

  • Erez Shalom
  • Jonathan J. Price
  • Margalit Finkelberg
  • Ayelet Goldstein
  • Osnat Mokryn

Best Publications

  • THE ASGAARD PROJECT: A TASK-SPECIFIC FRAMEWORK FOR THE APPLICATION AND CRITIQUING OF TIME-ORIENTED CLINICAL GUIDELINES

    Yuval Shahar;Silvia Miksch;Peter D. Johnson

  • A framework for knowledge-based temporal abstraction

    Yuval Shahar

  • EON: A Component-Based Approach to Automation of Protocol-Directed Therapy

    Mark A. Musen;Samson W. Tu;Amar K. Das;Yuval Shahar

  • Knowledge-based temporal abstraction in clinical domains.

    Yuval Shahar;Mark A Musen

  • Task modeling with reusable problem-solving methods

    Henrik Eriksson;Yuval Shahar;Samson W. Tu;Angel R. Puerta

  • ASBRU: A TASK-SPECIFIC, INTENTION-BASED, AND TIME-ORIENTED LANGUAGE FOR REPRESENTING SKELETAL PLANS

    Silvia Miksch;Yuval Shahar;Peter Johnson

  • Ontology-based configuration of problem-solving methods and generation of knowledge-acquisition tools: application of PROTEGE-II to protocol-based decision support.

    Samson W Tu;Henrik Eriksson;John H Gennari;Yuval Shahar

  • Distributed, intelligent, interactive visualization and exploration of time-oriented clinical data and their abstractions

    Yuval Shahar;Dina Goren-Bar;David Boaz;Gil Tahan

  • Clinical decision support models and frameworks: Seeking to address research issues underlying implementation successes and failures.

    Robert A. Greenes;Robert A. Greenes;David W. Bates;Kensaku Kawamoto;Blackford Middleton

  • RE´SUME´: a temporal-abstraction system for patient monitoring

    Yuval Shahar;Mark A. Musen

  • Temporal reasoning and temporal data maintenance in medicine: Issues and challenges

    Carlo Combi;Yuval Shahar

  • A framework for a distributed, hybrid, multiple-ontology clinical-guideline library, and automated guideline-support tools

    Yuval Shahar;Ohad Young;Erez Shalom;Maya Galperin

  • Intelligent visualization and exploration of time-oriented data of multiple patients

    Denis Klimov;Yuval Shahar;Meirav Taieb-Maimon

  • Medical temporal-knowledge discovery via temporal abstraction.

    Robert Moskovitch;Yuval Shahar

  • Representation of change in controlled medical terminologies.

    Diane E Oliver;Yuval Shahar;Edward H Shortliffe;Mark A Musen

  • Classification-driven temporal discretization of multivariate time series

    Robert Moskovitch;Yuval Shahar

  • Temporal Information Systems in Medicine

    Carlo Combi;Elpida Keravnou-Papailiou;Yuval Shahar

  • Automatic generation of ontology editors

    Henrik Eriksson;Raymond Fergerson;Yuval Shahar;Mark Musen

  • Classification of multivariate time series via temporal abstraction and time intervals mining

    Robert Moskovitch;Yuval Shahar

  • Fast time intervals mining using the transitivity of temporal relations

    Robert Moskovitch;Yuval Shahar

  • Method and system for detecting malicious behavioral patterns in a computer, using machine learning

    Robert Moskovitch;Dima Stopel;Zvi Boger;Yuval Shahar

Frequent Co-Authors

Mark A. Musen
Mark A. Musen Stanford University
Robert Moskovitch
Robert Moskovitch Columbia University
Yuval Elovici
Yuval Elovici Ben-Gurion University of the Negev
Carlo Combi
Carlo Combi University of Verona
Samson W. Tu
Samson W. Tu Stanford University
George Hripcsak
George Hripcsak Columbia University
Mor Peleg
Mor Peleg University of Haifa
Asaf Shabtai
Asaf Shabtai Ben-Gurion University of the Negev
Daniel P. Stites
Daniel P. Stites University of California, San Francisco

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